Use of eHealth technologies to enable the implementation of musculoskeletal models of care: evidence and practice
Open accessAbstract
Musculoskeletal (MSK) conditions are the second leading cause of morbidity-related burden of disease globally. EHealth is a potentially critical factor that enables the implementation of accessible, sustainable and more integrated MSK models of care (MoCs). MoCs serve as a vehicle to drive evidence into policy and practice through changes at a health system, clinician and patient level. The use of eHealth to implement MoCs is intuitive, given the capacity to scale technologies to deliver system and economic efficiencies, to contribute to sustainability, to adapt to low-resource settings and to mitigate access and care disparities. We follow a practice-oriented approach to describing the 'what' and 'how' to harness eHealth in the implementation of MSK MoCs. We focus on the practical application of eHealth technologies across care settings to those MSK conditions contributing most substantially to the burden of disease, including osteoarthritis and inflammatory arthritis, skeletal fragility-associated conditions and persistent MSK pain.
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Online technologies have been shown to be efficient and cost-effective in managing long-term health conditions such as hypertension, diabetes, anxiety and depression at the population level with a high degree of fidelity.
“Online technologies have been shown to be efficient and cost-effective in managing long-term health conditions such as hypertension, diabetes, anxiety and depression at the population-level with a high degree of fidelity.22”
From Clinical and cost-effectiveness of an online-delivered group-based pain management programme in improving pain-related disability for people with persistent pain - Protocol for a non-inferiority randomised controlled trial (iSelf-help trial) (2021) · cites this paper as [22]
The Online pain care interventions section reports that internet-delivered pain-management programs can be cost-effective and improve some patient-reported outcomes. It does not establish efficient, cost-effective management of hypertension, diabetes, anxiety and depression at the population level with high fidelity; it notes inconsistent clinical improvements and few evaluations in large cohorts. No page number was supplied for these passages. (LLM, conf=0.85)
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- Authors
- Slater, H., Dear, B. F., Merolli, M. A., Li, L. C., & Briggs, A. M.
- Affiliations
- Curtin University (AU)
- Macquarie University (AU)
- The University of Melbourne (AU)
- University of British Columbia (CA)
- Corresponding author
- Slater, Helen
- Venue
- Best Practice & Research Clinical Rheumatology
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 30
- Issue
- 3
- Pages
- 483-502
- ISSN
- 1521-6942 (ISSN-L)
- OpenAlex
- W2555510292
- Cited by
- 88
- References
- 103
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 8 · 2023: 7 · 2022: 16 · 2021: 17 · 2020: 13 · 2019: 7 · 2018: 3 · 2017: 6 · 2016: 1
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Best Practice & Research Clinical Rheumatology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- eSpace (Curtin University) (submittedVersion, cc-by-nc-nd)
- Figshare (submittedVersion, cc-by-nc-nd)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion, cc-by-nc-nd)
- Swinburne figshare (Swinburne University of Technology)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- eHealth technologies, implementation of care models, musculoskeletal disorders, osteoarthritis, inflammatory arthritis, bone fragility, chronic musculoskeletal pain, health system integration, health care disparities, resource-limited settings
- MeSH terms
- Delivery of Health Care, Humans, Musculoskeletal Diseases, Telemedicine
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